Forcepoint Data Security vs Kivera Cloud Data Security: Side-by-Side Comparison (2026)

Forcepoint Data Security

Mid-market and enterprise teams drowning in unstructured data across clouds and on-prem will see immediate ROI from Forcepoint Data Security because its AI classification actually finds what you didn't know you had, then enforces policy across email, endpoint, and web in one control plane instead of bolted-together point tools. The platform covers ID.AM through DE.AE in NIST CSF 2.0, meaning you get asset discovery, risk assessment, and continuous monitoring without switching vendors. Skip this if your organization runs a mostly on-premises infrastructure with minimal cloud adoption; the value prop tilts heavily toward hybrid and cloud-first operations where data spreads faster than traditional DLP can catch it.

Kivera Cloud Data Security

Teams protecting multi-cloud environments where data exfiltration through SaaS applications poses genuine business risk should evaluate Kivera Cloud Data Security for its tenant-level boundary enforcement across AWS, Azure, and Google Cloud. The granular scoping down to individual resources means you can actually prevent the shadow SaaS sprawl problem instead of just logging it. This is not the tool for organizations still debating whether cloud data loss is a priority, or those needing asset inventory and classification upfront; Kivera assumes you know what data matters and where it lives.